Behavioral changes to repeated takeovers in automated driving: The drivers’ ability to transfer knowledge and the effects of takeover request process

Only a couple of studies evaluated whether drivers of automated vehicles change their takeover behavior when they experience takeover requests repeatedly. Even less evidence was accumulated regarding the question whether drivers are able to transfer learned behavior to takeover situations with varying visibility characteristics and whether drivers’ takeover behavior depends on the takeover process in these situations. This paper therefore examines three research questions. First, it assesses how drivers change their behavior with the repeated experience of a takeover situation with the same visibility (fog or no fog). Second, it tests whether drivers can transfer their learned takeover behavior from a takeover situation with high or low visibility to the same takeover situation with different visibility conditions. Third, it assesses whether drivers’ takeover behavior and their experience of the situation differ between a one-step and a two-step takeover request process. Forty participants experienced a takeover situation three times. Experimental trials varied between-subjects concerning the permanent presence or absence of fog in the adaptation condition, the change of visibility conditions from fog to no fog or vice versa in the transfer condition, and the design of the takeover process with one-step or two-steps. Dependent variables included participants’ takeover time, minimum time-to-collision (TTC_min) with the construction site, deceleration and maximum steering behavior, and their ratings of criticality of the driving situation and perceived effort. Results show that participants adapted their deceleration behavior when repeatedly experiencing a takeover situation with the same visibility characteristics (adaptation condition). Changing these characteristics (transfer condition) lead to increased minimum TTCs, criticality and perceived effort ratings. In general, participants were able to maintain their takeover behavior in takeover situations with varying visibility characteristics indicating that they can transfer their takeover behavior across situations. Finally, the two-step takeover request process was associated with longer takeover times. However, minimum TTCs were larger and maximum steering movements and criticality ratings were lower compared to the one-step process. We conclude that drivers transfer their behavior across takeover situations. However, this performance comes at higher costs in terms of perceived effort and criticality. In addition, two-step takeover request processes should be favored over one-step processes when designing takeover requests. Future studies should examine the validity of the results in various takeover situations and on-the-road studies.     

“They would call me,and I would need to know because it is like life and death”: A qualitative examination of the acceptability of smartphone applications designed to reduce mobile phone use while driving

Distracted driving is one of the most prevalent risky behaviours worldwide. Research has highlighted that current approaches to distracted driving based on education and police enforcement have shown low effectiveness. Smartphone applications to reduce distracted driving are an emerging technology with the potential to prevent road crashes. However, recent evidence has shown that the adoption of these applications has been limited. A qualitative study was carried out to investigate the acceptability of smartphone applications that are designed to prevent distracted driving. A total of 35 drivers (57% females) aged 19–44 years (Mean = 28.43) participated in interviews which explored acceptability constructs for in-vehicle intelligent technology as defined by Regan et al. (2012): usefulness, usability, effectiveness, social acceptability, affordability, and willingness to use the application functions. Generally, drivers perceived that these applications have the potential to increase safety and reduce voluntary and involuntary mobile phone interactions while driving. Nonetheless, it was also found that drivers want to retain some of the functionalities of their mobile phone, such as music playing applications, accessing GPS/maps and being able to interact with certain groups of people through their phones while driving. Finally, barriers to the uptake of the applications among drivers who use their mobile phone while driving are discussed. A frequent barrier that needs to be overcome is the perceived need and pressure to respond to their phone while driving to communicate for work purposes or with people with strong social ties to the driver, for example, a parent or spouse.     

Ecological interface design effectively reduces cognitive workload – The example of HMIs for speed control

This paper aims to demonstrate that ecological interface design reduces the use of cognitive resources. Making the boundaries of acceptable performance visually perceivable should elicit skill-based behavior, thus lowering the cognitive load. To illustrate the psychological mechanisms of ecological interface design and validate its influence on cognitive load, we compared a conventional speedometer to an ecological speedometer. Both interfaces were displayed on the head-up display of a static driving simulator and were tested in a rural highway scenario. In a 2 × 2 × 2 repeated-measure design, the human–machine interface was tested along with the informative intelligent speed assistance system (representing an existing alternative for speed control) and the additional workload induced by a 1-back task (representing cognitively demanding driving situations). To measure cognitive load, we used a tactile version of the detection response task and controlled for all confounding variables. The experiment was conducted with 28 male and 21 female drivers. Our hypotheses and the ecological interface design theory are supported by the finding that the ecological speedometer reduces the use of cognitive resources. Moreover, the specific application of the ecological speedometer enables better driving performance (i.e., longitudinal and lateral control) compared to a conventional speedometer.     

A Metastudy of Journal of Employment Counseling: An Analysis of Publication Patterns From 2000 to 2019

Articles published in the Journal of Employment Counseling from 2000 to 2019 were analyzed for trends over time related to author characteristics (i.e., domicile, gender, work setting, and leading contributors and institutions) and article content (i.e., typology, topical issues, research methodology, characteristics of participants, research design, statistics used, report of effect size and sample reliability and validity).     

Patterns of marijuana use and physical health indicators among Canadian youth

We examine how trajectories of marijuana use in Canadian youth (ages 15 to 28) are related to physical health indicators in adolescence and young adulthood. Youth were initially recruited in 2003 (N = 662; 48% male; ages 12 to 18) and followed for six waves. Five trajectories of marijuana use (Abstainers-29%, Occasional users-27%, Decreasers-14%, Increasers-20% and Chronic users-11%) were identified. Chronic users reported more physical symptoms, poorer physical self-concept, less physical activity, poorer eating practices, less sleep, and higher number of sexual partners during adolescence than other classes. Decreasers also reported poorer physical self-concept and poorer eating practices than abstainers. Other trajectory classes showed few significant health problems. Chronic users also reported more acute health problems (i.e. serious injuries, early sexual debut, higher number of sexual partners, greater likelihood of having a STI) in young adulthood than all other classes contributing to costs of healthcare. Youth who engage in early, frequent and continued use of marijuana from adolescence to young adulthood are at-risk of physical health problems in adolescence and young adulthood.     

Point-biserial correlation: Interval estimation,hypothesis testing,meta-analysis,and sample size determination

The point-biserial correlation is a commonly used measure of effect size in two-group designs. New estimators of point-biserial correlation are derived from different forms of a standardized mean difference. Point-biserial correlations are defined for designs with either fixed or random group sample sizes and can accommodate unequal variances. Confidence intervals and standard errors for the point-biserial correlation estimators are derived from the sampling distributions for pooled-variance and separate-variance versions of a standardized mean difference. The proposed point-biserial confidence intervals can be used to conduct directional two-sided tests, equivalence tests, directional non-equivalence tests, and non-inferiority tests. A confidence interval for an average point-biserial correlation in meta-analysis applications performs substantially better than the currently used methods. Sample size formulas for estimating a point-biserial correlation with desired precision and testing a point-biserial correlation with desired power are proposed. R functions are provided that can be used to compute the proposed confidence intervals and sample size formulas.     

Bayesian power equivalence in latent growth curve models

Longitudinal studies are the gold standard for research on time-dependent phenomena in the social sciences. However, they often entail high costs due to multiple measurement occasions and a long overall study duration. It is therefore useful to optimize these design factors while maintaining a high informativeness of the design. Von Oertzen and Brandmaier (2013,Psychology and Aging, 28, 414) applied power equivalence to show that Latent Growth Curve Models (LGCMs) with different design factors can have the same power for likelihood-ratio tests on the latent structure. In this paper, we show that the notion of power equivalence can be extended to Bayesian hypothesis tests of the latent structure constants. Specifically, we show that the results of a Bayes factor design analysis (BFDA; Schönbrodt & Wagenmakers (2018,Psychonomic Bulletin and Review, 25, 128) of two power equivalent LGCMs are equivalent. This will be useful for researchers who aim to plan for compelling evidence instead of frequentist power and provides a contribution towards more efficient procedures for BFDA.     

D-optimal design for the Rasch counts model with multiple binary predictors

In this paper we derive optimal designs for the Rasch Poisson counts model and its extended version of the (generalized) negative binomial counts model incorporating several binary predictors for the difficulty parameter. To efficiently estimate the regression coefficients of the predictors, locally D-optimal designs are developed. After an introduction to the Rasch Poisson counts model and its extension, we will specify these models as particular generalized linear models. Based on this embedding, optimal designs for both models including several binary explanatory variables will be presented. Therefore, we will derive conditions on the effect sizes for certain designs to be locally D-optimal. Finally, it is pointed out that the results derived for the Rasch Poisson models can be applied for more general Poisson regression models which should receive more attention in future psychological research.     

Individual differences in effective interview design: Factors affecting question choice

Despite the evidence that structured interviews are superior to unstructured interviews, interviewers remain reluctant to use them for personnel selection. The current research replicated and extended recent research examining how individual differences relate to the ability to identify effective interview questions. Question judgments were made across questions that varied substantially in quality and across two different jobs. Across two samples of data, respondents evaluated past behavioral and traditional interview questions more favorably than oddball questions and questions about job‐irrelevant competencies. Furthermore, general mental ability and social aptitude were strongly related to skill in identifying effective interview questions, with results suggesting these traits are associated with customizing questions to specific job contexts.     

From Assessment to Design: What Is Really Needed in Technology Accompaniment to Achieve Subject Constitution?

Based on the argument that technologies mediate human experience and praxis, the idea of technology accompaniment has been suggested as an approach to developing human-tech relations. In light of this idea, this paper argues, firstly, that when technologies inevitably have moral relevance in influencing human perceptions and actions, the constitution of a moral subject has much to do with shaping technological mediation deliberately and creatively. While there is not always a direct connection between what humans know and what humans do, technological mediation can help to strengthen people’s motivation to do the right thing. Subsequently, we examine two approaches that have often been suggested for realizing subject-constitution-with-technology: one is Technology Assessment, and the other is Mediation Design. Although the former can equip people with knowledge about technological mediation, it is relatively weak when it comes to directly producing moral behavior. In contrast, the latter not only exerts a more direct impact on user behavior but may also improve people’s moral knowledge. Nonetheless, both approaches face the general challenge of moral education. As moral knowledge does not guarantee moral behavior, knowing facts and theories about technological mediation may not lead to subject constitution as a result of the development of the human-tech relationship. To overcome this difficulty, an extension of the latter approach is proposed. The design of meta-mediation has great potential to shift users’ attention to the aforementioned mediating effect of technology-in-use and, thereby, users’ subject constitution can be enabled.